Almost diagonal matrices and Besov-type spaces based on wavelet expansions
Markus Weimar

TL;DR
This paper extends the definition of Besov-type spaces based on wavelet expansions to general manifolds, analyzing their properties and showing the equivalence of different wavelet constructions under certain conditions.
Contribution
It introduces a generalized framework for Besov-type spaces on manifolds and proves the equivalence of various wavelet-based constructions using almost diagonal matrices.
Findings
Different wavelet systems generate the same Besov-type spaces under regularity conditions.
Develops a theory of almost diagonal matrices for sequence space analysis.
Analyzes embedding and approximation properties of the constructed spaces.
Abstract
This paper is concerned with problems in the context of the theoretical foundation of adaptive (wavelet) algorithms for the numerical treatment of operator equations. It is well-known that the analysis of such schemes naturally leads to function spaces of Besov type. But, especially when dealing with equations on non-smooth manifolds, the definition of these spaces is not straightforward. Nevertheless, motivated by applications, recently Besov-type spaces on certain two-dimensional, patchwise smooth surfaces were defined and employed successfully. In the present paper, we extend this definition (based on wavelet expansions) to a quite general class of -dimensional manifolds and investigate some analytical properties (such as, e.g., embeddings and best -term approximation rates) of the resulting quasi-Banach spaces. In particular, we prove that…
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Taxonomy
TopicsAdvanced Harmonic Analysis Research · Mathematical Analysis and Transform Methods · Mathematical Approximation and Integration
